Premier League whistle desk
Premier League refs, indexed and scored.
Referee profiles, foul rates, and club splits while the schedule pauses.
- Refs indexed
- 48
- Matches logged
- 3,800
- Seasons
- Last 10 seasons
Matchday assignments return when the Premier League schedule resumes.
Team pages cover all 20 PL clubs for 2025-26. Ref profiles and card/foul tendencies populate as matches log.
Season highlights
Strong-confidence patterns first; thin samples sink to the bottom. Within each tier, ranked by effect size and sample depth.
- 29/48
- Refs mostly over
- Personal over rate > 50%
- 54.4%
- Games over benchmark
- 45.6% under · 50% = neutral
- 3,800
- Games analyzed
- 2016-17, 2017-18, 2018-19, 2019-20, 2020-21, 2021-22, 2022-23, 2023-24, 2024-25, 2025-26
Why it matters: Two different cuts of the same data: each ref's personal over rate asks whether they beat the 2.5 combined goals in most of their games; the league-wide share counts every game individually. A ref can lean over while many of their games still go under. This uses a fixed benchmark, not sportsbook pricing.
- 29/48
- Refs mostly over
- Personal over rate > 50%
- 54.4%
- Games over benchmark
- 45.6% under · 50% = neutral
- 3,800
- Games analyzed
- 2016-17, 2017-18, 2018-19, 2019-20, 2020-21, 2021-22, 2022-23, 2023-24, 2024-25, 2025-26
Why it matters: Two different cuts of the same data: each ref's personal over rate asks whether they beat the 2.5 combined goals in most of their games; the league-wide share counts every game individually. A ref can lean over while many of their games still go under. This uses a fixed benchmark, not sportsbook pricing.
29 of 48 officials (60%) beat the 2.5 combined goals line in a majority of their own games (personal over rate above 50%). Across all 3,800 games, 54.4% finished over and 45.6% went under.
- 18.6
- fouls per game
- -2.9 vs 21.6 league avg
- 56.7%
- Over benchmark
- 2.5 goals
- 164
- Sample
- Min 50 games
- 18.6
- fouls per game
- -2.9 vs 21.6 league avg
- 56.7%
- Over benchmark
- 2.5 goals
- 164
- Sample
- Min 50 games
Andre Marriner averages 18.6 fouls per game (-2.9 vs league) across 164 games, the largest whistle delta among 50+ game refs.
- +0.5
- Scoring delta
- vs 2.8 league avg
- 65.6%
- Over benchmark
- 61 games
- 22.7
- Avg flags
- +1.3 vs league
- +0.5
- Scoring delta
- vs 2.8 league avg
- 65.6%
- Over benchmark
- 61 games
- 22.7
- Avg flags
- +1.3 vs league
Michael Salisbury's 61 games average 3.3 combined points (65.6% over 2.5), one of the largest scoring deltas in the pool.
- 36.0%
- Over benchmark
- 50 games
- 2.3
- Avg combined total
- -0.5 vs league
- 14.0 pts
- Delta vs 50%
- Leans under
- 36.0%
- Over benchmark
- 50 games
- 2.3
- Avg combined total
- -0.5 vs league
- 14.0 pts
- Delta vs 50%
- Leans under
36.0% of Robert Madley's 50 games finish under 2.5 combined goals, 14.0 pts from a neutral 50% baseline.
Referee analytics leaders
Goal, foul, and card splits from the historical dataset, descriptive tendencies, not picks.
Most fouls called
Michael Jones+2.5 vs league
23.9 fouls/match avg
Most yellow cards
John Brooks+0.8 vs league
4.3 yellows/match avg
Highest-scoring refs
Michael Salisbury+0.5 goals vs avg
3.3 combined goals/match
Most overs vs baseline
Sam Barrott66.1% over rate
Over 2.5 goals benchmark
Most balanced card splits
Lee Probertbalancer
balancer · 78% within 1 card
Historical tendencies only, with sample gates, confidence tiers, and transparent methodology. Not betting advice.
Ref Watch Pro, coming soon
Slate alerts before puck drop or tip-off, reunion-level crew stats, and richer signal digests, built on the same sample gates you see today.
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- Historical tendency vs crew benchmark context
- Exact crew reunion history across seasons